DESCRIPTION

Package: epispot
Type: Package
Title: EPISPOT: annotation-driven approach for large-scale joint regression 
    with multiple responses
Version: 0.1.3
Date: 2021-01-16
Authors@R: c(
    person("Helene", "Ruffieux", email = "helene.ruffieux@mrc-bsu.cam.ac.uk",
            role = c("aut", "cre")),
    person("Sylvia", "Richardson", email = "sylvia.richardson@mrc-bsu.cam.ac.uk",
            role = c("aut")),
    person("Leonardo", "Bottolo", email = "lb664@cam.ac.uk",
            role = c("aut")))
Description: Parallel variational expectation-maximisation for sparse regression 
    with hierarchically-related responses and predictor-level information. This 
    software has been used in the context of molecular quantitative trait locus 
    mapping, with several thousand molecular levels (responses), genetic markers 
    (candidate predictors) and epigenomic annotation marks (predictor-level 
    covariates) and individuals (samples).
Depends:
    R (>= 3.2.0)
License: GPL (>= 3) | file LICENSE
LazyData: TRUE
Imports:
    Matrix (>= 1.2-2),
    parallel,
    plyr (>= 1.8.4),
    PowerTOST (>= 1.4-6),
    Rcpp (>= 0.12.9),
    RcppEigen (>= 0.3.2.9.0)
RoxygenNote: 7.1.1
Suggests: testthat
LinkingTo: Rcpp, RcppEigen
Encoding: UTF-8